Download PDF Join the Discussion View in the ACM Digital Library In recent years, more conciliatory attitudes have emerged, attested to by (among other developments) the creation of the Tests and ...

A language model writes twenty question-and-answer pairs for a product page in under a minute. The trouble starts right after. For the answers to be correct, the model needs the company's facts: ...

The PDP framework is a generic framework based on the idea of Propagation, Decimation and Prediction (PDP) for learning and implementing message passing-based solvers for constraint satisfaction ...

OpenAI models on Amazon Bedrock expose an OpenAI-compatible Responses API surface for production workflows that need text generation, structured outputs, application tools, direct file inputs, ...

Decision tree regression is a fundamental machine learning technique to predict a single numeric value. A decision tree regression system incorporates a set of virtual if-then rules to make a ...

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...

As semiconductor technology pushes the boundaries of scale and complexity, traditional VLSI physical design methodologies are struggling to keep pace. The rise of Artificial Intelligence (AI), ...

Department of Pharmaceutical Sciences, Division of Pharmaceutical Chemistry, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria Christian Doppler Laboratory ...

Irreversibility, in which a transient perturbation leaves a system in a new state, is an emergent property in systems of interacting entities. This property has well-established implications in ...

Abstract: Transistor network minimization is an important step in designing new standard cells. Existing methods for minimizing transistor networks all rely on some heuristic techniques. Hence, there ...

Precision medicine has emerged as an important paradigm in oncology, driven by the significant heterogeneity of individual patients’ tumour. A key prerequisite for effective implementation of ...